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Published on: November 16, 2011
Limitations of first-phase insulin response to evaluate insulin secretion in children
W S Cutfield1, R K Menon, G N Bright
1Department of Paediatrics, University of Auckland, Auckland, New Zealand. waynec@ahsl.co.nz
Insights
The first-phase insulin response (FPIR) in children and adolescents shows significant variability. Factors like puberty, obesity, and fasting insulin levels influence FPIR, complicating beta-cell function assessment in type 1 diabetes mellitus.
Area of Science:
- Endocrinology
- Pediatrics
- Diabetes Research
Background:
- The first-phase insulin response (FPIR) is a key indicator of beta-cell function, particularly in prediabetes and type 1 diabetes mellitus (DM).
- Understanding factors influencing FPIR is crucial for accurate assessment of beta-cell function in pediatric populations.
Purpose of the Study:
- To investigate the impact of clinical and methodological variables on FPIR in healthy children and adolescents.
- To identify factors contributing to variability in FPIR measurements.
Main Methods:
- Studied 85 islet cell antibody-negative children and adolescents (4-22 years), including relatives of type 1 DM patients.
- Administered a dextrose challenge and measured insulin levels at 0, 1, 2, 3, 4, 5, 6, 8, and 10 minutes.
- Calculated FPIR(1-10) as the corrected area under the insulin response curve.
Main Results:
- FPIR(1-10) was significantly lower in pre-pubertal subjects compared to pubertal and post-pubertal groups.
- Obese subjects exhibited higher FPIR(1-10) values than non-obese subjects.
- Fasting insulin, weight-for-length index, peak glucose, and pre-pubertal age were significant predictors of FPIR(1-10).
Conclusions:
- FPIR demonstrates substantial inter-subject variability in children and adolescents.
- Clinical factors (puberty, obesity) and methodological aspects significantly influence FPIR, necessitating standardized interpretation protocols.
Unlabelled:
The first-phase insulin response (FPIR) is a widely used method to evaluate beta-cell function during the prediabetic phase of evolving type 1 diabetes mellitus (DM). The aim of the present study was to evaluate the influence of clinical and methodological variables on FPIR in normal children and adolescents. Children and adolescents who were first-degree relatives of those with type 1 DM and healthy young adults were studied. All subjects were islet cell antibody-negative. A FPIR test was performed on all subjects while fasting. Insulin samples were drawn at 0, 1, 2, 3, 4, 5, 6, 8, and 10 min after 0.3 g/kg of dextrose. FPIR(1-10) was calculated as the area under the FPIR curve corrected for baseline. Eighty-five subjects aged 4-22 yr were studied, 43 of whom were pre-pubertal, 24 pubertal, and 18 post-pubertal. FPIR(1-10) values were lower in the pre-pubertal group when compared to either the pubertal and post-pubertal groups (415 [179-965, 2SD], 756 [256-2 223] and 684 [235-1 180] mU/L, respectively; p<0.05). Obese subjects had a higher FPIR than non-obese subjects (856 vs. 520 mU/L; p<0.005). Despite correcting for the influence of puberty and obesity, there remained considerable unaccounted variability in FPIR(1-10) (R=0.46). Further variables found to influence FPIR(1-10) were: fasting insulin level (r(2)=0.49); weight for length index (r(2)=0.38); peak blood glucose level (r(2)=0.38, all p<0.001); and pre-pubertal age (r(2)=0.20, p<0.05).
Conclusion:
FPIR exhibited wide inter-subject variability and was influenced by a number of clinical and methodological factors that make interpretation more difficult without more specifically defined standards.
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